thu-ml / thu-ml/TurboDiffusion
lora微调
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- Dominant language
- Python
- Stars
- 3.7k
- Forks
- 277
- Avg merge
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- Merged PRs (30d)
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Description
大佬现在我有一个问题是想要提高turbowan2.2 I2V 的效果，可以直接把基于wan2.2 I2V A14B的lora权重合并到Turbowan上吗，我觉得这个应该是很多人想问的一个问题
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are identified in the issue. First clarify whether the expected outcome is compatibility guidance or an implementation change, then document the supported relationship between Wan2.2 I2V A14B LoRA weights and TurboWan; done means the answer is reproducible and clearly states any limitations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100